7 of 7 Remote/Hybrid R Jobs in the City of London

Governance: Proven experience leading AI/ML governance within financial services or insurance. Strong expertise in machine learning, data science, and AI technologies (Python, R, etc.). Experience across insurance processes such as underwriting, pricing, claims, or fraud. Demonstrated ability to translate business challenges into AI-driven solutions. Experience managing ...

verbal; able to describe complex technical problems to a variety of audiences Ability to manage multiple projects and meet deadlines. Programming skills in Python, R, or other analytical tools (nice to have) Familiarity with statistical methods and machine learning algorithms (nice to have) Why you’ll love life at Veran ...

Drive to input into the business culture, maintaining a strong customer focus Essential Coding experience, preferably in Python, but other languages such as SAS, R, SQL or VBA will be appropriate GLM/Machine Learning Models Willingness to learn and apply new skills Desirable Knowledge of UK motor insurance Insurance ...

expertise in experimental design, including randomized controlled trials and observational study methodologies Strong understanding of conformal prediction theory and applications Proficiency in Python or R , and relevant statistical packages Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do-calculus) Knowledge of modern machine learning techniques and their intersection ...

understanding of working with survey data, including wrangling, merging, cleaning and weighting and exposure to publicly available data sets and a strong proficiency in R or Python for analysis and visualisation, we are keen to speak to you. This will be a great fit for you if you are curious ...

credit etc. Practical application of more advanced techniques including GLMs (Generalised Linear Models) and GBMs (Gradient Boosting Machines) would be an advantage using Python & R Reviewing the current pricing models, understanding the duplication in techniques, and recommending the best-in-class methods and optimal modularisation Analysis of the pricing modules ...

risk modelling and using these insights to inform business decisions Proven experience building risk models from scratch and enhancing existing ones Excellent skills in R, Python, or SAS Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes Ability to present to stakeholders ...